社会化问答网站知识传播网络推断方法

发布时间：2018-05-13 03:05

本文选题：社会化问答网站 + 知识传播方式　；参考：《计算机学报》2018年01期

【摘要】：社会化问答网站通过用户间提问与回答的方式帮助用户获得全面的知识.知识传播过程是进一步研究信息传播规律和社交行为的基础,由于无从得知传播者影响了哪些用户,因而无法直接获得答案的完整传播过程.该文提出了一种描述社会化问答网站知识传播过程的传播网络模型,定义了社会化问答网站知识从传播者到接收者的传播过程,归纳出follow,notification,qlink,recommendation这4种可能的知识传播方式,给出了知识传播网络定义,为传播网络推断奠定了理论基础.提出了一种社会化问答网站知识传播网络推断方法,分别提取节点类型、节点时间关系及候选传播者排序特征推断follow关系,采用启发式方法推断另外3种关系,生成知识传播网络.结合知乎问答数据对所提方法进行了实验验证及实例分析,结果表明推断方法有效并具有较高的准确率.
[Abstract]:Social Q & A website helps users acquire comprehensive knowledge by asking and answering questions among users. The process of knowledge dissemination is the basis of further research on the rules of information dissemination and social behavior. Because it is impossible to know which users are affected by the communicators, it is impossible to obtain the complete communication process of the answers directly. This paper presents a network model to describe the process of knowledge dissemination in social question and answer websites, defines the transmission process of knowledge from communicator to receiver, and sums up four possible modes of knowledge dissemination. The definition of knowledge transmission network is given, which lays a theoretical foundation for network inference. This paper presents a network inference method for knowledge dissemination in social Q & A websites, which extracts node type, node time relation and candidate communicator ranking feature inference follow relationship, and uses heuristic method to infer the other three relationships. Generate knowledge dissemination networks. The proposed method is verified by experiments and case studies based on the question and answer data. The results show that the inference method is effective and has a high accuracy.
【作者单位】：中国科学院计算技术研究所;中国科学院大学;
【基金】：国家重点研发计划(2016YFB0800403) 国家“八六三”高技术研究发展计划项目基金(2015AA015803) 北京市科技计划课题(Z161100001616009)资助~~
【分类号】：G206;TP393.092

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